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A new exergy-based model predictive control methodology for energy assessment and control

机译:一种用于能量评估和控制的基于火用的新模型预测控制方法

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The paper proposes a new methodology based on integration of an exergy-auditing analysis with a model predictive control (MPC) scheme. The primary advantage of the methodology is that exergy analysis provides rich information to recognize processes that consume the major portion of energy. The proposed exergy-based MPC method thus is capable of incorporating the desired set-point values in conjunction with the corresponding operational constraints, being dictated by the exergy analysis, in design procedure of MPC. The proposed control scheme guides the system toward the desired set-points in a multi-input, multi-output (MIMO) configuration enhancement of the energy efficiency and prevention of loss of energy due to possible disturbances. The proposed method is comparatively implemented on an air separation unit as the benchmark case study in which a compressor which is very common in gas industry is identified as the main part with the major wasting energy. Variety of experiments was conducted to check the compressor under different disturbances. By 22 percent energy saving in the steady-state condition, the results clearly demonstrated superiority of the proposed methodology compared to the other energy-based MPC approaches. (C) 2014 Elsevier B.V. All rights reserved.
机译:本文提出了一种基于火用审计分析与模型预测控制(MPC)方案集成的新方法。该方法的主要优势在于,火用分析可提供丰富的信息,以识别消耗大部分能量的过程。因此,所提出的基于火用的MPC方法能够在MPC的设计过程中结合期望的设定点值和由火用分析所决定的相应的操作约束。所提出的控制方案以多输入,多输出(MIMO)配置的能量效率增强和防止由于可能的干扰而导致的能量损失为指导,将系统朝着理想的设定点方向发展。所提出的方法在空气分离装置上作为基准案例研究进行了比较实施,在该案例中,确定了在天然气工业中非常普遍的压缩机是主要的浪费能源的主要部分。进行了各种实验以检查不同干扰下的压缩机。与其他基于能量的MPC方法相比,在稳态条件下节能22%,结果清楚地证明了所提出方法的优越性。 (C)2014 Elsevier B.V.保留所有权利。

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